Claude Opus 4.7 vs MiMo-V2.5-Pro
Claude Opus 4.7 leads MiMo-V2.5-Pro on coding, 67.5 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 27.3x less per output token ($0.9152 vs $25.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.
Claude Opus 4.7 or MiMo-V2.5-Pro: which to pick
Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro.
Pick MiMo-V2.5-Pro for output tokens 27.3x cheaper ($0.9152 vs $25.00 per million) and a lower cost per solved task ($0.03 against $2.95).
- Shared results
- 60
- Claude Opus 4.7 only
- 49
- MiMo-V2.5-Pro only
- 11
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
Claude Opus 4.7
Claude Opus 4.7 scores 67.5 against 31.6.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 26.0.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 4.7
Claude Opus 4.7 leads, 38.6 against 21.3.
Same board, both measured
Reasoning
GPQA Diamond
Claude Opus 4.7
Claude Opus 4.7 leads, 90.2% against 82.6%.
Same board, both measured
Math
AIME
No call
Only Claude Opus 4.7 has a AIME result, 96.3%.
Directional only
Knowledge
MMLU Pro
Claude Opus 4.7
Claude Opus 4.7 leads, 89.9% against 84.6%.
Same board, both measured
Web design
Design Arena: websites
No call
Only MiMo-V2.5-Pro has a Design Arena: websites result, 1266.
Directional only
Long documents
Listed context window
MiMo-V2.5-Pro
MiMo-V2.5-Pro takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5-Pro
Claude Opus 4.7 $0.018, MiMo-V2.5-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiMo-V2.5-Pro
Claude Opus 4.7 $2.95, MiMo-V2.5-Pro $0.03.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.7 67.5 from 4 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
- Widest category
- Intelligence, 14.7 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): Claude Opus 4.7 71.0% against MiMo-V2.5-Pro 34.1%, 36.9 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.7 $25.00 against MiMo-V2.5-Pro $0.9152 per million output tokens, 27.3x apart.
- Context window
- Claude Opus 4.7 takes 1M tokens, MiMo-V2.5-Pro 1.05M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Claude Opus 4.7 | Bars | MiMo-V2.5-Pro | Ties |
|---|---|---|---|---|
| Coding | 12 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 5 | 1 | ||
| Reasoning | 6 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 9 | 0 | ||
| General | 20 | 3 | ||
| All shared boards | 56 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
| Benchmark | Claude Opus 4.7 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LMArena WebDev | 1558 | 1480 | Claude Opus 4.7 |
| AA Coding Index | 73.6 | 60.2 | Claude Opus 4.7 |
| LiveCodeBench (Vals AI) | 85.1% | 81.3% | Claude Opus 4.7 |
| SWE-bench Verified (Vals AI) | 82.0% | 74.0% | Claude Opus 4.7 |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only MiMo-V2.5-Pro measured |
| Vibe Code Bench (Vals AI) | 71.0% | 34.1% | Claude Opus 4.7 |
| Code migration (Vals AI) | 43.9% | 21.6% | Claude Opus 4.7 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 68.5% | 57.3% | Claude Opus 4.7 |
| SciCode | Not measured | 50.6% | Only MiMo-V2.5-Pro measured |
| Terminal-Bench Hard (Artificial Analysis run) | 54.5% | 43.2% | Claude Opus 4.7 |
| Terminal-Bench | 80.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierCode | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| GSO-Bench | 44.1% | Not measured | Only Claude Opus 4.7 measured |
| WeirdML | 76.4% | Not measured | Only Claude Opus 4.7 measured |
| MirrorCode | 31.1% | Not measured | Only Claude Opus 4.7 measured |
| ALE-Bench | Not measured | 899.8 | Only MiMo-V2.5-Pro measured |
| LMArena Text: coding | 1519 | 1501 | Claude Opus 4.7 |
| LMArena Text: software and IT | 1516 | 1495 | Claude Opus 4.7 |
| LMArena WebDev: React | 1560 | 1469 | Claude Opus 4.7 |
| LMArena WebDev: HTML | 1554 | 1473 | Claude Opus 4.7 |
| LMArena WebDev: from an image | 1577 | Not measured | Only Claude Opus 4.7 measured |
| SWE Atlas: Codebase QnA | 40.3% | Not measured | Only Claude Opus 4.7 measured |
| SWE Atlas: Refactoring | 48.6% | Not measured | Only Claude Opus 4.7 measured |
| SWE Atlas: Test Writing | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.7 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.7 | 26.0 | Claude Opus 4.7 |
| Epoch Capabilities Index | 156.8 | Not measured | Only Claude Opus 4.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Claude Opus 4.7 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 38.6 | 21.3 | Claude Opus 4.7 |
| Finance Agent (Vals AI) | 51.5% | 41.5% | Claude Opus 4.7 |
| Tax Agent Bench (Vals AI) | 23.7% | 11.5% | Claude Opus 4.7 |
| Legal Research Bench (Vals AI) | 38.5% | 15.9% | Claude Opus 4.7 |
| Excel Modeling Benchmark (Vals AI) | 63.7% | 55.2% | Claude Opus 4.7 |
| τ²-Bench Telecom | 88.6% | 94.2% | MiMo-V2.5-Pro |
| APEX-Agents | 49.2% | Not measured | Only Claude Opus 4.7 measured |
| OSWorld 2.0 | 18.2% | Not measured | Only Claude Opus 4.7 measured |
| PostTrainBench | 28.6% | Not measured | Only Claude Opus 4.7 measured |
| Vending-Bench 2 | $10,937 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Search | 1230 | Not measured | Only Claude Opus 4.7 measured |
| MCP Atlas | 79.1% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Opus 4.7 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | 82.6% | Claude Opus 4.7 |
| MMMU Pro (Vals AI) | 85.5% | Not measured | Only Claude Opus 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | 91.4% | 86.6% | Claude Opus 4.7 |
| Humanity's Last Exam (Artificial Analysis run) | 42.3% | 35.7% | Claude Opus 4.7 |
| GPQA Diamond (Epoch AI run) | 90.2% | Not measured | Only Claude Opus 4.7 measured |
| ARC-AGI | 93.5% | Not measured | Only Claude Opus 4.7 measured |
| ARC-AGI-2 | 75.8% | Not measured | Only Claude Opus 4.7 measured |
| SimpleBench | 61.7% | Not measured | Only Claude Opus 4.7 measured |
| Chess puzzles | 41.0% | Not measured | Only Claude Opus 4.7 measured |
| Mystery game puzzles | 28.0% | Not measured | Only Claude Opus 4.7 measured |
| EBR-bench | 19.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts | 1506 | 1486 | Claude Opus 4.7 |
| LMArena Text: expert | 1521 | 1501 | Claude Opus 4.7 |
| LMArena Text: hard prompts in English | 1508 | 1494 | Claude Opus 4.7 |
| LMArena Vision: diagrams | 1336 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: homework | 1337 | Not measured | Only Claude Opus 4.7 measured |
| Kagi LLM Benchmark | 80.7% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Opus 4.7 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AIME | 96.3% | Not measured | Only Claude Opus 4.7 measured |
| OTIS Mock AIME | 97.8% | Not measured | Only Claude Opus 4.7 measured |
| FrontierMath, tiers 1 to 3 | 70.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierMath, tier 4 | 31.7% | Not measured | Only Claude Opus 4.7 measured |
| ProofBench | 54.0% | 22.0% | Claude Opus 4.7 |
| LMArena Text: math | 1498 | 1481 | Claude Opus 4.7 |
| LMArena Text: mathematical work | 1509 | 1491 | Claude Opus 4.7 |
| MathArena | 20.4% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Claude Opus 4.7 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 89.9% | 84.6% | Claude Opus 4.7 |
| LegalBench (Vals AI) | 85.3% | 77.1% | Claude Opus 4.7 |
| CaseLaw (Vals AI) | 68.4% | Not measured | Only Claude Opus 4.7 measured |
| CorpFin (Vals AI) | 66.1% | 61.4% | Claude Opus 4.7 |
| TaxEval (Vals AI) | 75.3% | 73.8% | Claude Opus 4.7 |
| MortgageTax (Vals AI) | 70.3% | Not measured | Only Claude Opus 4.7 measured |
| MedCode (Vals AI) | 54.9% | 32.5% | Claude Opus 4.7 |
| SimpleQA Verified | 51.7% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: science | 1508 | 1482 | Claude Opus 4.7 |
| LMArena Text: medicine and healthcare | 1495 | 1473 | Claude Opus 4.7 |
| LMArena Text: legal and government | 1504 | 1474 | Claude Opus 4.7 |
| LMArena Text: business and finance | 1490 | 1466 | Claude Opus 4.7 |
| FACTS Benchmark Suite | 45.5% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Claude Opus 4.7 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1266 | Only MiMo-V2.5-Pro measured |
| Design Arena: UI components | Not measured | 1246 | Only MiMo-V2.5-Pro measured |
| Design Arena: game dev | Not measured | 1261 | Only MiMo-V2.5-Pro measured |
| Design Arena: data viz | Not measured | 1257 | Only MiMo-V2.5-Pro measured |
| Design Arena: 3D | Not measured | 1243 | Only MiMo-V2.5-Pro measured |
| Design Arena: all code categories | Not measured | 1265 | Only MiMo-V2.5-Pro measured |
| Design Arena: SVG | Not measured | 1182 | Only MiMo-V2.5-Pro measured |
| Design Arena: ASCII art | Not measured | 1156 | Only MiMo-V2.5-Pro measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index203
| Benchmark | Claude Opus 4.7 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 56.1% | Not measured | Only Claude Opus 4.7 measured |
| MedScribe (Vals AI) | 83.0% | 83.7% | MiMo-V2.5-Pro |
| Vals Multimodal Index | 67.4% | Not measured | Only Claude Opus 4.7 measured |
| IFBench | 58.6% | 79.9% | MiMo-V2.5-Pro |
| Long context reasoning (AA-LCR) | 78.7% | 79.7% | MiMo-V2.5-Pro |
| DTBench | 94.7% | 84.5% | Claude Opus 4.7 |
| LMCA | 52.2% | 29.5% | Claude Opus 4.7 |
| Furniture assembly | 33.3% | Not measured | Only Claude Opus 4.7 measured |
| ExploitBench | 26.5% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text | 1490 | 1464 | Claude Opus 4.7 |
| LMArena Text: instruction following | 1498 | 1475 | Claude Opus 4.7 |
| LMArena Text: creative writing | 1486 | 1438 | Claude Opus 4.7 |
| LMArena Vision | 1317 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: English | 1496 | 1477 | Claude Opus 4.7 |
| LMArena Text: non-English | 1480 | 1448 | Claude Opus 4.7 |
| LMArena Text: Chinese | 1531 | 1507 | Claude Opus 4.7 |
| LMArena Text: German | 1495 | 1459 | Claude Opus 4.7 |
| LMArena Text: Japanese | 1474 | 1410 | Claude Opus 4.7 |
| LMArena Text: Korean | 1464 | 1435 | Claude Opus 4.7 |
| LMArena Text: French | 1503 | 1487 | Claude Opus 4.7 |
| LMArena Text: Spanish | 1494 | 1469 | Claude Opus 4.7 |
| LMArena Text: Russian | 1494 | 1449 | Claude Opus 4.7 |
| LMArena Text: Polish | 1489 | 1464 | Claude Opus 4.7 |
| LMArena Text: multi-turn | 1505 | 1476 | Claude Opus 4.7 |
| LMArena Text: longer queries | 1505 | 1481 | Claude Opus 4.7 |
| LMArena Text: writing and language | 1492 | 1451 | Claude Opus 4.7 |
| LMArena Text: entertainment and media | 1474 | 1438 | Claude Opus 4.7 |
| LMArena Vision: English | 1322 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: Chinese | 1371 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: reading text | 1327 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: humor | 1309 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: recognizing things | 1278 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: creative writing | 1326 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Document | 1495 | Not measured | Only Claude Opus 4.7 measured |
| EQ-Bench 4 | 1311 | 1208 | Claude Opus 4.7 |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
MiMo-V2.5-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5-Pro costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Anthropic Claude Opus 4.7 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Maker | Anthropic | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | April 16, 2026 | April 22, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $5.00 | $0.4575 |
| Output $/Mtok | $25.00 | $0.9152 |
| Coding index | 67.5 | 31.6 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | $2.95 | $0.03 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.7 better than MiMo-V2.5-Pro for coding?
Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro for output tokens 27.3x cheaper ($0.9152 vs $25.00 per million) and a lower cost per solved task ($0.03 against $2.95).
Which is cheaper, Claude Opus 4.7 or MiMo-V2.5-Pro?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and MiMo-V2.5-Pro $0.03.
Which has the bigger context window, Claude Opus 4.7 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro, with 1.05M tokens against 1M.
How many benchmarks is the Claude Opus 4.7 vs MiMo-V2.5-Pro comparison based on?
60 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.